scholarly journals Ant Colony System-Based Applications to Electrical Distribution System Optimization

10.5772/13840 ◽  
2011 ◽  
Author(s):  
Gianfranco Chicco
Keyword(s):  
Distribution System ◽  
System Optimization ◽  
Ant Colony ◽  
Ant Colony System ◽  
Electrical Distribution

scholarly journals Suspicious Activity Recognition Using Proposed Deep L4-Branched-ActionNet with Entropy Coded Ant Colony System Optimization

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Tanzila Saba ◽  
Amjad Rehman ◽  
Rabia Latif ◽  
Suliman Mohamed Fati ◽  
Mudassar Raza ◽  
...  
Keyword(s):  
Activity Recognition ◽  
System Optimization ◽  
Ant Colony ◽  
Ant Colony System ◽  
Suspicious Activity

The ant colony system: optimization for the logistics of marine cargo in the Aegean

2005 ◽  
Vol 8 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Nikolaos Alexandris ◽  
Chrysostomos Fountas ◽  
Aristidis Vlachos
Keyword(s):  
System Optimization ◽  
Ant Colony ◽  
Ant Colony System

scholarly journals Determination of the Shortest Route on the Distribution System using Ant Colony Optimization (ACO) Algorithm (Case Study: Alfamidi Palu Branch – PT. Midi Utama Indonesia)

2021 ◽  
Vol 1 (2) ◽  
pp. 84-93
Author(s):  
Nabila Dwi Indria ◽  
Junaidi Junaidi ◽  
Iut Tri Utami
Keyword(s):  
Ant Colony Optimization ◽  
Distribution System ◽  
Ant Colony ◽  
Ant Colony System ◽  
Ant Colonies ◽  
Status Transition ◽  
Shortest Route ◽  
Transition Rules

The distribution system of goods is one of the most important parts for every company. The company certainly has many route options to visit, and this is expected to be conducted efficiently in terms of time. In the distribution of goods by Alfamidi company in Palu City which has 51 outlets include into the category of Traveling Salesman Problem (TSP) because of many route options that can be visited. The problem can be solved by employing the Ant Colony Optimization (ACO) method which is one of the algorithms Ant Colony System (ACS). The ACS acquires principles based on the behavior of ant colonies and applies three characteristics to determine the shortest route namely status transition rules, local pheromone renewal and global pheromones. The result showed that the shortest route of the distribution of goods based on the calculation of selected iterations was ant 1 with the shortest total distance obtained 86.98 km.

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